Olap on hadoop

Olap on hadoop


Be open in terms of Hadoop engines used to store data and the methods being used to query data. Those come with a long list of warnings. Dimension sizes are no longer limited to traditional OLAP specifications. With mere point-and-click ease, I could further customize and add my own calculations. Successful businesses continuously plan, analyze and report on sales and operational activities in order to maximize efficiency, reduce expenditures and gain greater market share. Statisticians will tell you that the more sample data you have, the more likely the resulting statistic will be true. Without Java programming of Hadoop expertise, BI professionals can design OLAP cubes for the business to fully enjoy the value of big data with tools they already use.

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Olap on hadoop


Be open in terms of Hadoop engines used to store data and the methods being used to query data. Those come with a long list of warnings. Dimension sizes are no longer limited to traditional OLAP specifications. With mere point-and-click ease, I could further customize and add my own calculations. Successful businesses continuously plan, analyze and report on sales and operational activities in order to maximize efficiency, reduce expenditures and gain greater market share. Statisticians will tell you that the more sample data you have, the more likely the resulting statistic will be true. Without Java programming of Hadoop expertise, BI professionals can design OLAP cubes for the business to fully enjoy the value of big data with tools they already use. Olap on hadoop

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1 thoughts on “Olap on hadoop”

  1. Calculate formulas and build drag-and-drop reports on a billion-member OLAP cube dimension with trillions of facts instantaneously.

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